Shaping Trust Research Articles

Cultural filters in processing information on COVID vaccines among minoritized groups in London, UK

Abstract Introduction Vaccination coverage among minoritized groups, including migrants, is low in the United Kingdom. Cultural factors are often cited as barriers, yet the broader impact of minoritization on vaccine acceptance remains understudied. We explored the intersection of culture with individual, familial, and systemic factors in shaping trust and perceptions of COVID-19 vaccines in East London, UK. Methods We conducted focus group discussions (n = 6) and interviews (n = 19) with individuals from minoritized backgrounds in East London to elicit their perceptions and experiences of COVID-19 and the vaccination programme. Thematic analysis was used to identify individual, social, and systemic factors influencing the processing of perceived value of information on COVID vaccines. Findings Culture was rarely cited as an explicit barrier to vaccine uptake. Instead, participants’ linked their perceived vulnerability and immunity to COVID-19 with age, sex and health status. Information about COVID vaccines was processed and acted upon in the context of gendered family dynamics and support. Community identity, gatekeepers and social networks further influenced the perceived legitimacy of information received. Some participants voiced how their minoritized status shaped trust/mistrust in the national health system’s and government’s delivery of the COVID-19 information and vaccination campaigns Conclusions Unpacking cultural filters is crucial for addressing vaccine-related information barriers in minoritized groups. Going beyond mere language translation, tailored communication materials should address social enablers and systemic barriers. Further, closer collaboration between community gatekeepers and healthcare professionals to facilitate optimal use of these materials is needed to improve vaccine uptake. Key messages • Culture should not be assumed to be the main factor contributing to non-adherence and non-uptake of public health vaccine. • Vaccine uptake can be improved by healthcare workers and key community gate-keepers working collaboratively with minoritized groups.

INFLUENCE OF ONLINE REVIEWS ON CONSUMERS' HOTEL BOOKING INTENTIONS IN THAILAND: TRUST AND VALUE AS MEDIATING FACTOR

Purpose: The objective of this study is to explore the influence of online reviews on hotel booking intentions among consumers in Thailand, considering the mediating effects of trust and perceived value. Theoretical Framework: The Online Reviews (OR) construct, adapted from Wen et al. (2021), and the Trust (TRT) construct, assessed with measures from Ladhari and Michaud (2015). The Trust scale included four slightly modified items aligned with study objectives. The Value (VAL) construct was evaluated using measures from S. Y. Kim et al. (2017). Lastly, Booking Intention (BI) was assessed using four aspects adopted from Chakraborty and Biswal (2019). Design/methodology/approach: This study investigates the impact of online reviews on hotel booking intentions, employing trust and value as mediating factors. Utilizing a quantitative design through a survey conducted in Thailand, purposive sampling was employed to ensure diversity, with a minimum sample size of 379 determined to achieve a 0.05% sampling error at 95% confidence. Statistical methods, including a 5-point Likert scale, were utilized for data analysis, measure validation, and model reliability assessment, employing SEM analysis with ADENCO software. Descriptive statistics offered insights, contributing to a comprehensive understanding of the factors influencing individuals in Thailand when initiating and managing social entrepreneurial ventures. The study's methodology ensures robustness, reliability, and addresses potential biases through thorough sampling, statistical techniques, and validation procedures. Findings: The results emphasize the substantial influence of online reviews on trust, value perception, and hotel booking intentions. Demographic insights reveal sample characteristics and response variations. These findings deepen our understanding of factors influencing consumers' decisions in hotel booking. Research, Practical & Social implications: The demographic analysis conducted in this study reveals a gender distribution of 27.5% male and 72.5% female participants, primarily aged over 55 (49.1%), with 67.5% holding bachelor's degrees and earning between 30,001-50,000 baht (35.4%). Notably, civil servants and state enterprise employees dominate the occupational landscape (44%). Employing structural equation modeling (SEM), the study confirms that trust and value perception mediate the relationship. It elucidates significant connections between online reviews and trust, online reviews and value perception, and trust and booking intentions. The model remarkably clarifies a substantial portion of the variance in the dependent variables, ranging from 53.5% to 65.7%, highlighting the influential role of online reviews in shaping trust, value perception, and booking intentions. This study delves into the impact of online reviews on hotel booking intentions, with a specific focus on trust and value perception as mediators. Key findings encompass: 1) Online reviews significantly influence consumers' hotel booking intentions, playing a pivotal role in decision-making. 2) Trust and value perception mediate the relationship between online reviews and booking intentions, underscoring their profound impact on consumer behavior. 3) Employing a quantitative research design and survey data collection, the study provides systematic insights from a diverse participant sample. 4) The research not only supports existing literature on online reviews, trust, value perception, and hotel booking intentions but also contributes novel insights to these domains. Originality/Value: This study uncovers essential roles of online reviews, trust, and value perception in hotel booking, enlightening practitioners and researchers on digital-era consumer behavior.

Trust and management control archetypes in public-private partnerships

PurposeThis paper aims to contribute to the management control systems (MCS) changes in public-private partnerships (PPSs) by developing a conceptual archetype explaining the relationship between trust and MCSs in PPPs, and highlighting how this relationship may evolve over time.Design/methodology/approachThe paper adopts a longitudinal case study methodology focusing on a hospital built and operated under a project finance deal. The methods adopted include semistructured interviews, direct observation and internal documentation analysis. We conducted 15 semistructured interviews from 2019 to 2021. In analyzing different documents and interviews, we triangulated data to ensure solid interpretation.FindingsThe case shows how trust can take different configurations depending on the type of MCS used. The results highlight how different patterns of MCSs, about trust, can be combined to govern PPPs. The case also shows the temporal dynamics of how MCS and trust evolve at different organizational levels and how bureaucratic control matched with contractual trust and trust-based control matched with competence trust can coexist at different times and organizational levels.Practical implicationsManagers involved in PPPs will be aware of the role of different types of trust in shaping and managing the relationship between partners at different organizational levels. Furthermore, the findings could help policymakers to adopt more informed decisions and to promote practice-based trust at various organizational levels of PPPs.Originality/valueThe paper proposes a management control archetype based on bureaucracy- and trust-based patterns concerning the level of programmability of tasks, as well as defined risks.

Amy Coney Barrett is Not Enough: How Descriptive and Substantive Representation Shape Trust and Legitimacy of the Federal Courts

Public trust and perceptions of institutional legitimacy are vital to the functioning of the federal court system, and recent work challenges the long-standing belief that these attitudes are relatively stable in the populace. We posit that one threat to perceptions of trust and legitimacy is the lack of representation for women in the federal judiciary. Using a series of experiments, we show that, while women desire descriptive representation, this is an insufficient condition for preserving support for the institution. Substantive representation on issues critical to women leads to significantly increased trust and legitimacy and lowered perceptions of institutional bias among women. While female judges may bring their own social identities to bear in their decision-making, our work suggests that efforts to diversify the federal judiciary, while important, are unlikely to bolster public support for the courts if the new judges and justices fail to substantively represent the communities of interest.

The rise of online group purchases in the age of pandemics

In the wake of the COVID-19 pandemic, a significant shift in consumer behavior has accelerated the transition towards e-commerce, with a notable surge in online group buying. This research pioneers the integration of the Theory of Planned Behavior with neurophysiological measurements to dissect the complex interplay between product price, risk perception, and consumer trust in influencers on online group buying intentions amidst a global health crisis. Unlike previous studies that primarily rely on self-reported data, this investigation employs brainwave analysis to capture the immediate physiological responses of consumers to pandemic-related stimuli, thereby offering a novel perspective on the underlying psychological processes. Our findings reveal that while traditional factors such as price, quantity, and time continue to influence purchasing attitudes, the pandemic has uniquely modulated these effects, with social influence playing a pivotal role in shaping trust towards influencers and, consequently, group buying intentions. Significantly, the study uncovers that COVID-19's impact, though seemingly negligible in survey responses, exerts a profound influence when assessed through experimental measures. By bridging the gap between theoretical models and empirical neurological evidence, this study not only addresses a critical research void but also enhances our understanding of consumer decision-making in times of uncertainty. This advancement in knowledge contributes to the extant literature by providing a more nuanced and comprehensive analysis of the factors affecting online group buying, offering valuable insights for both academics and practitioners navigating the evolving landscape of e-commerce during and beyond the pandemic era.

The Legacies of Armed Conflict: Insights From Stayees and Returning Forced Migrants

How does conflict, displacement, and return shape trust, reconciliation, and community engagement? And what is the relative impact of exposure to violence on these indicators? In this paper we explore these questions by focusing on the legacies of armed conflict and the differences between those who stayed in their communities of origin during the conflict (stayees) and those who were displaced internally and internationally and who returned home over time (returnees). The results, which rely on analysis of data we collected in Burundi, suggest that internal returnees have significantly lower levels of trust, reconciliation, and community engagement than stayees, whereas the differences between international returnees and stayees are mostly statistically insignificant. Greater exposure to violence has a more negative effect on reconciliation and community engagement for returnees compared to stayees, while the effects on trust are mixed.

The Sandwich Generation and Cryptocurrencies: Trust, Product Knowledge and Reference Group as Triggers of Investment Intention

The rise and evolution of Cryptocurrency has been continuous since the launch of Bitcoin in 2009. However, Cryptocurrency as an investment instrument has not been able to attract the attention of young people. Moreover, the legal basis of trading involving Cryptocurrencies still has the potential to change, thus there could be concerns over the legality of Crypto assets as an investment medium. This research seeks to prove the effectiveness of several predictors such as trust, product knowledge and reference groups in shaping the intention to invest in Cryptocurrency. The result is that among the 3 constructs used in the measurement, only the Product Knowledge construct has a significant impact on the formation of intention to invest in Cryptocurrency

How social evaluations shape trust in 45 types of scientists.

Science can offer solutions to a wide range of societal problems. Key to capitalizing on such solutions is the public's trust and willingness to grant influence to scientists in shaping policy. However, previous research on determinants of trust is limited and does not factor in the diversity of scientific occupations. The present study (N = 2,780; U.S. participants) investigated how four well-established dimensions of social evaluations (competence, assertiveness, morality, warmth) shape trust in 45 types of scientists (from agronomists to zoologists). Trust in most scientists was relatively high but varied considerably across occupations. Perceptions of morality and competence emerged as the most important antecedents of trust, in turn predicting the willingness to grant scientists influence in managing societal problems. Importantly, the contribution of morality (but not competence) varied across occupations: Morality was most strongly associated with trust in scientists who work on contentious and polarized issues (e.g., climatologists). Therefore, the diversity of scientific occupations must be taken into account to more precisely map trust, which is important for understanding when scientific solutions find their way to policy.

Role of public attitude, knowledge, and trust in shaping the acceptance of recycled wastewater for potable and non-potable uses

Abstract The acceptance of recycled wastewater plays a pivotal role in shaping the success of water management strategies. This study examines relation of public attitudes, knowledge, behaviors, and trust toward recycled wastewater systems, utilizing a survey of participants. The results reveal substantial knowledge deficits, with only 23.8% correctly defining recycled wastewater. In addition, 46.3% of respondents were knowledgeable about water scarcity, while 45.3% correctly identified the largest water uses. Attitudes were more reserved toward potable applications, with only 5% strongly agreeing to consume recycled water for drinking. Behavioral intentions favored non-potable uses, with 87% agreeing to use recycled wastewater for home gardening and flushing toilets, while 56% considered consuming food irrigated with recycled wastewater acceptable. Trust in water authorities emerged as a significant factor influencing acceptance. Lack of competence and not acting in public interest were identified as key factors eroding trust. The study also explored the influence of religion, revealing that non-contact applications were widely accepted across all religions, while direct-contact applications generated varied responses. The findings underscore the need for targeted educational campaigns, the cultivation of trust, and a nuanced approach considering cultural and religious diversity to promote wastewater recycling.

Trust in Anonymous News? How Users Navigate Political News Channels on Russian Telegram

The paper explores the phenomenon of anonymous news channels on Russian Telegram, which have become increasingly popular in recent years. Drawing on 25 self-confrontation interviews, we answer the following questions: Do users trust anonymous news? If not, why do they keep using this information source? How does a restrictive socio-political context influence users’ trust in alternative news sources? Our results show that, in Russia, the concept of trust is linked to the normative democratic understanding of journalistic functions. At the same time, many users believe that trust in media is not at all necessary and develop individual strategies to navigate a “chaos of narratives”. The paper discusses Telegram’s role in shaping trust or distrust in news.

Propensity to trust shapes perceptions of comforting touch between trustworthy human and robot partners

Touching a friend to comfort or be comforted is a common prosocial behaviour, firmly based in mutual trust. Emphasising the interactive nature of trust and touch, we suggest that vulnerability, reciprocity and individual differences shape trust and perceptions of touch. We further investigate whether these elements also apply to companion robots. Participants (n = 152) were exposed to four comics depicting human–human or human–robot exchanges. Across conditions, one character was sad, the other initiated touch to comfort them, and the touchee reciprocated the touch. Participants first rated trustworthiness of a certain character (human or robot in a vulnerable or comforting role), then evaluated the two touch phases (initiation and reciprocity) in terms of interaction realism, touch appropriateness and pleasantness, affective state (valence and arousal) attributed to the characters. Results support an interactive account of trust and touch, with humans being equally trustworthy when comforting or showing vulnerability, and reciprocity of touch buffering sadness. Although these phenomena seem unique to humans, propensity to trust technology reduces the gap between how humans and robots are perceived. Two distinct trust systems emerge: one for human interactions and another for social technologies, both necessitating trust as a fundamental prerequisite for meaningful physical contact.

Fostering trust: When the rhetoric of sharing can backfire

The peer-to-peer lending and transfer of underutilized resources – the so-called Sharing Economy – make up for a sizeable and rapidly increasing portion of the economy. The digital platforms that enable it have the primary goal of promoting trust among users and providers. In an online experiment, we study how the platform’s revenue model (No-profit vs. For-profit) interacts with its communication strategy in shaping trust. In particular, we consider two communication strategies, one highlighting the trust dimension and the other highlighting the interaction’s profitability. We show how these strategies can affect trust differently for pure-sharing and market-oriented for-profit platforms. We observe that a communication strategy that evokes trust feelings, if sent by a for-profit platform, decreases trust in the interaction. This evidence suggests that leveraging a rhetoric of trust can backfire for profit-oriented platforms in terms of trust generation.

Determinants of trust in Bitcoin: Literature review and results of a survey study

The rise of Bitcoin, a decentralized digital currency built on blockchain technology, marks the onset of a novel era in financial transactions and has generated substantial interest among academics and industry professionals. The fundamental notion of trust lies at the core of Bitcoin's success and broad acceptance. It is imperative to better understand the factors influencing trust in Bitcoin for the progression of scholarly advancement and practical implementations. Against this background, this paper explored the fundamental research question of what factors influence trust in Bitcoin. Firstly, we conducted a literature review and examined 22 empirical articles investigating determinants of trust in Bitcoin. Secondly, we conducted a quantitative survey with 372 participants to investigate the top 20 determinants of trust in Bitcoin. We leveraged our literature review results, considering that most examined articles used qualitative methods and often had a broader focus on blockchain technology rather than Bitcoin itself. Our survey results uncovered the perceived nature and strength of the relationship between the 20 factors and trust in Bitcoin, particularly emphasizing how Bitcoin ownership status influenced these findings. In summary, our results contribute to an enhanced understanding of the elements shaping trust in Bitcoin, which is vital both from an academic standpoint and for its practical significance, considering the widespread public interest in Bitcoin.

Discourse of Consumer Perception: How Important is Halal Value Chain at Cosmetic Products for Women?

In the era of globalization, the rapid growth of economic, technological, and cultural aspects has significantly increased the living needs of the population. This research adopts a discourse analysis approach to explore the importance of Halal Beauty Products for Women in Indonesia, focusing on the halal supply chain management aspects within the cosmetics industry. Cosmetics have evolved into a primary necessity for enhancing women's beauty, contributing to the flourishing cosmetics industry in Indonesia. This qualitative research employs in-depth interviews with five respondents aged 17-22 to unravel consumer perceptions of Halal Beauty Products. Data collection utilizes semi-structured interviews, allowing for deeper exploration and potential adjustments to the interview process. Thematic analysis is applied to the gathered data, comprising positive reviews, celebrity endorsements, and the significance of kosher insignia in the adoption of halal cosmetics. The research identifies that while positive reviews and celebrity endorsements influence consumer perceptions, the halal symbol plays a crucial role due to limited consumer comprehension of the halal value chain. The halal logo emerges as a pivotal factor in instilling consumer confidence in the halal authenticity of cosmetics. In conclusion, consumer trust in halal cosmetics is influenced by the halal seal, endorsements, and positive reviews, even though awareness of the halal value chain remains limited among consumers. This discourse analysis sheds light on the dynamics of consumer perceptions, emphasizing the role of discourse elements in shaping trust in the halal cosmetics market.

Comparative analysis of trust taxation: a deep dive into Australian and Canadian regimes

Abstract This article examines trust taxation in Australia and Canada, focusing on the Australian Income Tax Assessment Act 1936's Section 97(1) and the Canadian Income Tax Act’s Section 94.1. It explores the Australian Carter and the Canadian Fundy Settlement cases, highlighting their implications for tax avoidance strategies. The article employs a comparative methodology to provide insights into the policy and legislative nuances shaping trust distribution taxation in these jurisdictions. The goal is to bridge traditional legal frameworks with modern fiscal challenges and inform future reforms in common-law countries.

The intensity of environmental scandals, responsible innovation, and corporate resilience: The moderating role of relational trust

AbstractResearch on the reasons contributing to the heterogeneous effects of environmental scandals on corporate performance remains limited. This study examines the factors of corporate resilience (CR) and employs event system theory to investigate the roles of responsible innovation (RI) and relational trust (RT) in shaping the relationship between environmental scandal intensity (ESI) and CR. We focus on examining the mediating role of RI in the relationship between ESI and CR and consider the moderating effect of RT. Analyzing survey data from 211 Chinese companies, we find that RI significantly mediates the inverted U‐shaped impact of ESI on CR. Moreover, RT regulates this relationship. These findings help extend our knowledge on the practice of CR when a scandal occurs and during its aftermath.

Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance

Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms in decision-making, has emerged as a subject of growing scholarly interest. Inquiries into this subject are crucial to understanding human decision-making processes as in the era of artificial intelligence, algorithms are increasingly being integrated into decision-making. To contribute to this evolving field, this study examines three factors that might play significant roles in enhancing trust in algorithms: familiarity with algorithms, familiarity with tasks, and familiarity with algorithm performance. Drawing upon prior studies, a conceptual model was developed and empirically tested using a scenario study. Data on 327 individuals showed a strong positive association between familiarity with algorithms and trust in algorithms. In contrast, task familiarity appeared to have no significant influence on trust. Trust, in turn, was identified as a key driver of algorithm appreciation. The study also revealed the moderating role of familiarity with algorithm performance in the relationship between familiarity with algorithms and trust in algorithms. Post hoc analysis highlighted that trust fully mediates the relationship between algorithm familiarity and algorithm appreciation. The study underscores the significance of algorithm familiarity and performance transparency in shaping trust in algorithms. The study contributes theoretically by offering important insights about the influences of different forms of familiarity on trust and practically by prescribing practical guidelines to enhance algorithm appreciation.

The impact of e-service quality on public trust and public satisfaction in e-government public services

Responsive, timely, and friendly service quality plays a central role in shaping trust between the government and citizens. With the improvement of service quality, the public feels valued and heard, reinforcing the mutual trust relationship between the government and citizens. In this regard, technology-enabled service processes can streamline time and cost, while automation reduces the risk of human errors. Through web platforms or applications, the government can provide easier access for citizens to various services without the need to physically visit government offices. Good and quality public services are not only aimed at meeting the practical needs of the public but also play a role in shaping the mutual trust relationship between the government and citizens. Therefore, the concept of e-service quality, which encompasses the quality of services provided through electronic platforms, becomes crucial. The objective of this research is to explore the extent to which e-service quality can influence the level of public satisfaction. The research method employs a quantitative approach using primary data sources, where random sampling is applied as the sampling technique. The research respondents are citizens using digital public service platforms organized by the local government of Jakarta. The sample size used in this study is 262. The variables tested in this research involve e-service quality, public trust, and public satisfaction. In analyzing the data, this research utilizes SmartPLS 4 software. The analysis results show that e-service quality has a significant influence on the formation of public trust. Furthermore, findings indicate that e-service quality also significantly affects public satisfaction. However, the analysis results do not support the idea that public trust mediates the relationship between e-service quality and public satisfaction. This signifies that while public trust directly contributes to public satisfaction with public services, other unmeasured factors also play a role in shaping public perceptions and satisfaction.

A review of AI-based trust management in smart cities

Given the complexity of trust management in smart cities, this work unfolds the important role of trust management across various domains. Be- yond its traditional roots in human relationships, trust management emerges as a cornerstone in technological, business, and societal contexts. This scoping review first organizes the literature by five most commonly cited indicators, and then derives essential insights from existing literature. This paper not only nav- igates through the challenges presented by technological advancements in trust management, but also offers a comprehensive understanding of the mechanisms and frameworks shaping trust in smart cities.

Social Media Influencer Marketing: Exploring the Dynamics of Follower Engagement

This study explores the dynamic realm of influencer marketing, a transformative force in contemporary digital marketing. Influencer marketing harnesses the power of social media influencers (SMIs) to endorse products, services, or causes, reshaping the consumer-brand relationship. Despite extensive research in this field, a critical aspect remains underexplored: the factors and processes influencing follower engagement. The study utilizes a qualitative research approach, employing triangulation to synthesize existing literature and conduct focus group discussions. This study introduces an integrative framework encompassing "Influencer Content Characteristics," "Source Characteristics," and "Psychological Characteristics." These dimensions shed light on the multifaceted influencer marketing landscape, providing insights into how influencers shape trust, connections, and persuasive impact. The study offers a deeper understanding of follower engagement, empowering marketers to craft more effective influencer strategies in the ever-evolving digital sphere. As the global influencer marketing industry continues its meteoric rise, this research becomes increasingly pertinent, forecasting a promising future for influencer marketing's role in brand engagement and consumer decision-making.